Burberry APP Data Analyst
Burberry APP Data Analyst

Burberry APP Data Analyst

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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Burberry

At a Glance

  • Tasks: Analyse data to identify compliance gaps and improve reporting across departments.
  • Company: Join Burberry, a leading luxury brand committed to creativity and sustainability since 1856.
  • Benefits: Enjoy a dynamic work environment with opportunities for growth and development.
  • Why this job: Be part of a values-driven team making a positive impact in the luxury industry.
  • Qualifications: Experience with IntelliQ, SQL, and advanced Excel is essential; retail fraud knowledge is a plus.
  • Other info: This role is based in London and offers a chance to work with innovative data systems.

The predicted salary is between 36000 - 60000 Β£ per year.

INTRODUCTION
At Burberry, we believe creativity opens spaces. Our purpose is to unlock the power of imagination to push boundaries and open new possibilities for our people, our customers and our communities. This is the core belief that has guided Burberry since it was founded in 1856 and is central to how we operate as a company today.
We aim to provide an environment for creative minds from different backgrounds to thrive, bringing a wide range of skills and experiences to everything we do. As a purposeful, values-driven brand, we are committed to being a force for good in the world as well, creating the next generation of sustainable luxury for customers, driving industry change and championing our communities.
JOB PURPOSE
To provide data analytics and gap analysis of key areas of compliance in the business that would leave us exposed from a risk perspective if not highlighted. This reporting is to be provided across multiple departments within the business.
RESPONSIBILITIES

  • Maintain, run and improve automated KPI and trend analysis reporting and flagging relevant issues to key stakeholders.
  • Continue to build a suite of reports to highlight exceptions and/or breaches in key areas utilising both SAP and IntelliQ.
  • Supporting regional APP with evidence gathering during investigations.
  • System Maintenance to include: monitoring daily data loads and clearing of load errors; weekly gap analysis; regular updates of key data streams from HR, product and finance to ensure reporting is accurate and up to date. Troubleshooting as required to fix issues.
  • Continue to build a Sharepoint site for the APP team to provide training materials and support for using the system.
  • Maintenance of the APP (Asset and Profit Protection) Operations database to include keeping store master and HR data up to date.
  • Supporting the wider regional team with a growing list of daily, weekly and monthly reports including :
  • Store KPI Reporting, Adjustment Reporting, Incident Reporting, Digital Fraud Reporting, AML Reporting, Retail Operations Exception Reporting.
  • Support the team with biannual stock loss reporting to include data cleansing, performing analysis on required areas of concerns and creating store level posters.
  • Provide ad hoc support to Digital Fraud team with chargebacks.

PERSONAL PROFILE
Essential

  • Previous Experience with IntelliQ or other data mining systems (This is a mandatory requirement for the role)
  • Advanced Office 365 Suite, in particular Excel
  • Data minded
  • Experience in retail fraud prevention
  • Retail chargeback processing
  • Experience with SQL
  • Experience with Microsoft Access and Power BI
  • Previous experience with SAP
  • Experience using Power Platform

MEASURES OF SUCCESS
FOOTER
Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience.
Posting Notes: United Kingdom || Not Applicable || London || CORPORATE AFFAIRS || CORPORATE – ASSET & PROFIT PROTECTION || n/a || #J-18808-Ljbffr

Burberry APP Data Analyst employer: Burberry

At Burberry, we pride ourselves on fostering a dynamic and inclusive work environment that champions creativity and innovation. As a Burberry APP Data Analyst, you will benefit from our commitment to employee growth through continuous learning opportunities and a collaborative culture that values diverse perspectives. Located in London, you will be part of a prestigious brand that not only leads in luxury fashion but also prioritises sustainability and community engagement, making your role impactful and rewarding.
Burberry

Contact Detail:

Burberry Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Burberry APP Data Analyst

✨Tip Number 1

Familiarise yourself with IntelliQ and other data mining systems. Since experience with IntelliQ is mandatory for this role, consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering the tool.

✨Tip Number 2

Brush up on your SQL skills, as this is essential for data analysis in the role. Practice writing queries and working with databases to ensure you can handle the data management tasks effectively.

✨Tip Number 3

Gain a solid understanding of retail fraud prevention and chargeback processing. Research common practices and challenges in the industry to show that you are knowledgeable about the specific issues Burberry faces.

✨Tip Number 4

Network with professionals in the retail analytics field, especially those who have experience with Burberry or similar companies. Attend industry events or join relevant online forums to make connections that could help you learn more about the company culture and expectations.

We think you need these skills to ace Burberry APP Data Analyst

Data Analytics
Gap Analysis
KPI Reporting
IntelliQ
Automated Reporting
Data Mining
SQL
Microsoft Access
Power BI
Office 365 Suite
Excel
Retail Fraud Prevention
Chargeback Processing
SAP
Power Platform
Troubleshooting Skills
Data Cleansing
Communication Skills
Attention to Detail

Some tips for your application 🫑

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Burberry APP Data Analyst position. Tailor your application to highlight relevant experiences and skills that align with the job description.

Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with IntelliQ, SQL, and data analysis. Provide specific examples of how you've used these tools in previous roles, especially in relation to retail fraud prevention and reporting.

Showcase Your Skills: Make sure to showcase your proficiency in the Office 365 Suite, particularly Excel. Mention any experience you have with Power BI and Microsoft Access, as these are essential for the role. Use quantifiable achievements to demonstrate your capabilities.

Craft a Compelling Cover Letter: Write a tailored cover letter that reflects your passion for data analytics and your understanding of Burberry's values. Discuss how your background and skills can contribute to their mission of driving industry change and championing communities.

How to prepare for a job interview at Burberry

✨Showcase Your Data Skills

Make sure to highlight your experience with data mining systems like IntelliQ, as well as your proficiency in SQL and Excel. Be prepared to discuss specific projects where you've successfully used these tools to analyse data and drive insights.

✨Understand Burberry's Values

Familiarise yourself with Burberry's commitment to creativity and sustainability. During the interview, express how your personal values align with theirs and how you can contribute to their mission of being a force for good in the world.

✨Prepare for Technical Questions

Expect technical questions related to data analysis and reporting. Brush up on your knowledge of SAP, Power BI, and the Office 365 Suite, especially Excel, as these are crucial for the role. Practice explaining complex data concepts in simple terms.

✨Demonstrate Problem-Solving Abilities

Be ready to discuss past experiences where you've identified issues and implemented solutions, particularly in a retail or compliance context. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

Burberry APP Data Analyst
Burberry
Location: London
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